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Field
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Description The Davis Lab of Plant Biodiversity at Harvard University is seeking an exceptional postdoctoral researcher to work with us on forecasting species distributions of medicinal plants and assessing
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of capabilities such as AI training and inference at scale, and tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics
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distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will
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Fellowship(s) (BI) is(are) open at the FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências, for the project “Integrating interactions into Species Distribution Models for effective
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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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—specifically fine particulate matter, heat, and humidity—in Philadelphia neighborhoods. The fellow will extend existing research in AI- and data-driven modeling of building systems by developing algorithms and
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We are seeking a highly motivated Research Fellow to join the Aston Institute of Photonic Technologies (AiPT), one of the world’s leading photonics research centres. This role is part of a HORIZON
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centres. This role is part of a HORIZON-EU-funded project (Engineered Combined Sensing and Telecommunications Architectures for Tectonic and Infrastructure Characterisation - https://ecstatic-project.eu
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and distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap solid-state protective devices. Sustainable Infrastructure Engineering and Maintenance
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templates for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q